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MATLAB多目标优化，包含两个matlab文件和ppt说明(MATLAB multi-objective optimization, including two matlab files and ppt Description)

- XCS for Dynamic Environments + Continuous versions of XCS + Test problem: real multiplexer + Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts. +Reference papers: H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mining – an Investigation in a Dynamic Environment. 2005, accepted for a book chapter in Springer Series on Studies in Computational Intelligence H.H. Dam, H.A. Abbass, C.J. Lokan, Be Real! XCS with Continuous-Valued Inputs. IWLCS 2005, (International Workshop on Learning Classifier Systems). Washington DC, June 2005.(- XCS for Continuous Dynamic Environments Test versions of XCS problem : real multiplexer Experiments : XCS is explored in dynamic environments with di fferent magnitudes of change to the underlying concepts. Reference papers : H. H. Dam, H. A. Abbass, C. J. Lokan. Evolutionary Online Data Mining-an Investiga tion in a Dynamic Environment. 2005. accepted for a book chapter in Springer Series o n Studies in Computational Intelligence H.H. D am, H. A. Abbass, C. J. Lokan. Be Real! XCS with Continuous- Valued Inputs. IW LCS 2005. (International Workshop on Learning Classifi er Systems). Washington DC, June 2005.)

基于多层感知器的DNA序列分类器的设计,里面有说明文档和源程序(Based on the DNA sequence of MLP classifier design, which has documentation and source code)

说明：  利亚普诺夫指数是混沌预测和混沌的重要参数，代码中给出利亚普诺夫指数和wolf算法(Liapunov index and the wolf chaos algorithm)

well-designed user work with in MATLAB, suitable for beginners

This will solve 2d photonic crystal modes by plane wave method

code for creating an image thershold and applying it to the image in matlab or octave

国外人编写的一个分数阶系统的控制工具箱，可以设计分数阶控制器，评价系统性能(Abroad were prepared by a fractional order systems control toolbox, can be designed fractional order controllers, evaluation of system performance)

Semi-supervised learning

SAX比其他符号算法更简便、高效 在符号化过程中实现了减维降噪 ,保证在符号空间计算出的两个符号序列距离满足实际两个时间序列距离的下界要求 ,即不会出现漏报(SAX (Symbolic Aggregate approXimation))